WESCOposted 11 days ago
Full-time - Senior
Hybrid - Pittsburgh, PA
Merchant Wholesalers, Durable Goods

About the position

Wesco is seeking a strong and capable Senior Manager of Azure Data Engineering to join our team. This person will be responsible for leading, mentoring and developing a team of data engineers and architects on cloud technology products, projects, and initiatives. Work with all customers, both internal and external, to make sure all data related features are implemented in each solution. Will collaborate with business partners and other technical teams across the organization as required to deliver proposed solutions.

Responsibilities

  • Help to define the technical direction of the team and drive the actual architecture/design/implementations to enhance an ever-expanding data platform, that supports business process needs for internal and external integration via APIs, data models, self-serve reporting solutions, and interactive querying
  • Managing a team of 3 to 5 data managers, data engineers and architects including responsibility for their career growth, goal setting, and performance improvements
  • Management of team progression, maturity, Agile delivery, and DevOps/CI-CD processes
  • Solution analysis and design, balancing technical and business aspects
  • High-level and low-level design of real-time and batch system interfaces and data enrichment pipelines in a cloud-native data ecosystem
  • Promoting and enforcing design and development standards and best practices
  • Collaborate and influence Users, Engineers, and Product partners to ensure our data infrastructure meets constantly evolving requirements
  • Works with IT leadership and business partners to design features for the cloud data platform
  • Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, Event Hub, etc.

Requirements

  • 7 years required, 10 years preferred experience in a data engineering role
  • 2+ years of experience leading team
  • 3 years required, 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)
  • 1 - 3 years preferred experience in data architecture activities such as evaluation, design, and implementation of data related technologies
  • Solid understanding of real-time & batch data processing, data pipelines, transformation, and modeling using traditional and distributed systems
Hard Skills
International
2
CI/CD
1
Data Lakes
1
Databricks
1
SQL
1
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Soft Skills
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